Conditional score matching for high-dimensional partial graphical models
From MaRDI portal
Publication:830589
DOI10.1016/j.csda.2020.107066OpenAlexW3080796378MaRDI QIDQ830589
Shuangge Ma, Kuangnan Fang, Xinyan Fan, Qing-Zhao Zhang
Publication date: 7 May 2021
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2020.107066
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Estimation of high-dimensional graphical models using regularized score matching
- Sparse inverse covariance estimation with the graphical lasso
- Adjusting for high-dimensional covariates in sparse precision matrix estimation by \(\ell_1\)-penalization
- Regularized rank-based estimation of high-dimensional nonparanormal graphical models
- Sparsistency and rates of convergence in large covariance matrix estimation
- High-dimensional semiparametric Gaussian copula graphical models
- High-dimensional covariance estimation by minimizing \(\ell _{1}\)-penalized log-determinant divergence
- Network exploration via the adaptive LASSO and SCAD penalties
- High-dimensional graphs and variable selection with the Lasso
- Partial Gaussian Graphical Model Estimation
- Joint estimation of multiple graphical models
- Model selection and estimation in the Gaussian graphical model
- The Group Lasso for Logistic Regression
- Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell _{1}$-Constrained Quadratic Programming (Lasso)
- The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes
- Partial Correlation Estimation by Joint Sparse Regression Models
- A Convex Pseudolikelihood Framework for High Dimensional Partial Correlation Estimation with Convergence Guarantees
- High Dimensional Semiparametric Latent Graphical Model for Mixed Data
- Covariate-adjusted precision matrix estimation with an application in genetical genomics
- Convergence of a block coordinate descent method for nondifferentiable minimization
This page was built for publication: Conditional score matching for high-dimensional partial graphical models
